Software Engineer, Machine Learning Compilers, Silicon

Google is seeking a Software Engineer specializing in Machine Learning Compilers for their Silicon team. This role is integral to developing ML compilers for the Tensor TPU to accelerate machine learning models on custom hardware accelerators. As part of Google's mission to organize the world's information and make it universally accessible, you'll join a diverse team that combines the best of Google AI, Software, and Hardware to create groundbreaking experiences.

The position involves working on cutting-edge compiler development for machine learning applications, requiring strong expertise in C++ programming and algorithm development. You'll be responsible for optimizing performance, power efficiency, and memory consumption while collaborating with both ML researchers and hardware engineers to advance the capabilities of custom accelerators.

This is an excellent opportunity for someone with a strong background in computer science and compiler development who wants to work at the intersection of machine learning and hardware optimization. You'll be contributing to projects that directly impact Google's direct-to-consumer products, helping to shape the future of hardware experiences that serve millions of users worldwide.

The role offers the chance to work with state-of-the-art technology in machine learning acceleration, compiler design, and hardware optimization. You'll be part of Google's innovative environment, working on projects that push the boundaries of what's possible in machine learning hardware acceleration while contributing to products that have global impact.